Center for Integrative Neuroscience and Howard Hughes Medical Institute, University of California, San Francisco, San Francisco, United States.
Elife. 2023 Sep 21;12:e83223. doi: 10.7554/eLife.83223.
Complex behaviors depend on the coordinated activity of neural ensembles in interconnected brain areas. The behavioral function of such coordination, often measured as co-fluctuations in neural activity across areas, is poorly understood. One hypothesis is that rapidly varying co-fluctuations may be a signature of moment-by-moment task-relevant influences of one area on another. We tested this possibility for error-corrective adaptation of birdsong, a form of motor learning which has been hypothesized to depend on the top-down influence of a higher-order area, LMAN (lateral magnocellular nucleus of the anterior nidopallium), in shaping moment-by-moment output from a primary motor area, RA (robust nucleus of the arcopallium). In paired recordings of LMAN and RA in singing birds, we discovered a neural signature of a top-down influence of LMAN on RA, quantified as an LMAN-leading co-fluctuation in activity between these areas. During learning, this co-fluctuation strengthened in a premotor temporal window linked to the specific movement, sequential context, and acoustic modification associated with learning. Moreover, transient perturbation of LMAN activity specifically within this premotor window caused rapid occlusion of pitch modifications, consistent with LMAN conveying a temporally localized motor-biasing signal. Combined, our results reveal a dynamic top-down influence of LMAN on RA that varies on the rapid timescale of individual movements and is flexibly linked to contexts associated with learning. This finding indicates that inter-area co-fluctuations can be a signature of dynamic top-down influences that support complex behavior and its adaptation.
复杂的行为依赖于相互连接的大脑区域中神经集合的协调活动。这种协调的行为功能,通常通过跨区域的神经活动的共同波动来衡量,但其理解还很不完善。一种假设是,快速变化的共同波动可能是一个区域对另一个区域的任务相关影响的瞬间影响的特征。我们通过鸟类歌声纠错适应来检验这种可能性,这是一种运动学习形式,它被假设依赖于上级区域 LMAN(前脑外侧巨细胞核)对主运动区 RA(arcopallium 的坚固核)的输出进行自上而下的影响。在唱歌鸟类的 LMAN 和 RA 的成对记录中,我们发现了 LMAN 对 RA 的自上而下影响的神经特征,其被量化为这两个区域之间活动的 LMAN 领先的共同波动。在学习过程中,这种共同波动在与学习相关的特定运动、序列上下文和声学修饰相关的运动前颞窗中增强。此外,在这个运动前窗内 LMAN 活动的短暂干扰会导致音高修饰的快速阻塞,这与 LMAN 传递一个时间上局部的运动偏差信号一致。总的来说,我们的结果揭示了 LMAN 对 RA 的动态自上而下的影响,这种影响在个体运动的快速时间尺度上变化,并且与学习相关的上下文灵活地联系在一起。这一发现表明,区域间的共同波动可以作为支持复杂行为及其适应的动态自上而下影响的特征。